GEM-KMeans: Memory-Efficient and Accurate Clustering on Massive Scale with GPU Optimization
This paper introduces GEM-KMeans, a spectrally normalized yet mathematically equivalent NLR formulation that fuses the gradient update, nonnegative projection, and sufficient statistics for normalization and iterate movement into a matrix-multiplication epilogue.
Peng Xu, Nihar Koganti, Volodymyr Kindratenko et al.
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